对Hadoop的用电信息大数据计算服务应用分析

Electricity information on Hadoop big data computing services Application Analysis

随着我国社会及科技的进步,计算机和互联网技术被应用于各个领域中,现阶段日常被处理的用电信息的大数据特征已经表现出来,传统的用电信息计算技术已经不能够满足现代我们的需求。目前,基于Hadoop的用电信息大数据的处理和计算架构得到了广泛的认可,其核心由HDFS和MapReduce两部分构成,极大的提高了用电信息大数据计算效率和计算服务质量。基于此,本文首先介绍了Hadoop平台架构,然后分析了基于Hadoop的用电信息大数据的计算,希望能够引起读者的兴趣。

With the progress of society and technology,computer and Internet technology has been used in various fields,the large data characteristics of electricity at the present stage are processed daily information has demonstrated that traditional computing power of information technology is no longer able we meet modern needs. Currently,Hadoop-based information processing and computing power of big data architecture has been widely recognized,its core by the HDFS and MapReduce two parts,which greatly improves the power of information large data computation efficiency and quality of service. Based on this,this paper introduces the Hadoop platform architecture,and then analyzes the computing power of Hadoop-based big data information,hoping to arouse the reader's interest.